Full-Stack Observability for CrewStat ERP on AWS
CrewStat Solutions
99.9%
Uptime
<2 min
MTTD
-60%
Error Rate
The Challenge
CrewStat ERP serves multiple tenants with modules spanning HR, inventory, accounting, and CRM. As the user base grew, the team had no unified view of application health—outages surfaced through customer complaints, slow queries went unnoticed for hours, and capacity planning was guesswork. Error spikes, resource saturation, and service degradation needed to be detected and acted on before users were affected.
Our Solution
We designed and deployed a production-grade monitoring stack using Prometheus, Grafana, and Alertmanager, fully orchestrated with Docker Compose on AWS EC2. Custom exporters collect metrics from the application layer, PostgreSQL, Redis, Nginx, and the host itself. Grafana dashboards provide real-time visibility into uptime, request latency, error rates, CPU/memory load, and database performance. Alertmanager routes intelligent alerts to Slack and email based on severity, with escalation policies for critical incidents. The entire stack is version-controlled and reproducible across environments.
The Results
Measurable impact that transformed the client's operations
Uptime improved from ~97% to 99.9% with proactive incident detection
Mean time to detection (MTTD) dropped from hours to under 2 minutes
Error rate reduced by 60% through early visibility into failing endpoints
Capacity planning backed by real data eliminated over-provisioning waste
“Before the monitoring stack, we were flying blind. Now we catch issues before customers even notice. The Grafana dashboards have become the first screen our ops team checks every morning.”
Team Lead
CrewStat Solutions
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